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Machine learning offers insights into evolution of monkey faces

Computers are able to use monkey facial patterns not only to correctly identify species, but also distinguish individuals within species, a team of …

Here’s Waldo: Computing the optimal search strategy for finding Waldo

As I found myself unexpectedly snowed in this weekend, I decided to take on a weekend project for fun. While searching for something to catch my …

Machine Learning

March Machine Learning Mania 2015

YouTube

Large set of Machine Learning and Related Resources

Zillow opens the kimono – reveals R, Python and Graphlab Create underneath

<b>Meetup:</b> ‘Data Science at Zillow – the Zestimate and Beyond‘, at the Python Data Science Meetup, Seattle, Jan 27th, 2015. <b>Slidedeck:</b> …

The system dynamics of 2,000+ marketing technology vendors

How is it even possible to have <b>2,000 marketing technology vendors</b>? Surely, this space must consolidate. It’s not even <i>conceivable</i> that it would …

Innovation

Native Advertising Budgets Will Rise In 2015, Say Marketers

Still, most marketers devoted just up to 5 percent of their budgets last year to native ads. The post Native Advertising Budgets Will Rise In 2015, …

Native Advertising

For Native Advertising, The Best Is Yet to Come

This story originally appeared on Visual.ly<p>Native advertising was much maligned in 2014 as marketers and publishers struggled to effectively walk the fine line between sponsored native content and editorial content. Many native ads were either too obviously promotional, too distantly related to the …

AdTech

What $4.5 Million Could Buy If Spent on Social Ads Instead of Super Bowl Spots

With NBC charging a record-setting $4.5 million for 30-second ads, it's no wonder brands are using digital media to either complement or replace a …

Advertising

Convolutional neural networks

Neural networks have been around for a number of decades now and have seen their ups and downs. Recently they’ve proved to be extremely powerful for …

Deep Learning

Artificial-Intelligence Experts to Explore Turing Test Triathlon

It was billed as an epochal event in humanity’s history: For the first time a computer had proved itself to be as smart as a person. And befitting …

Artificial Intelligence

Building and deploying large-scale machine learning pipelines

There are many algorithms with implementations that scale to large data sets (this list includes matrix factorization, SVM, logistic regression, …

Machine Learning

Pinterest Acquires Machine Learning Commerce Recommendation Engine Kosei

Facebook knows who you were. Google knows what you want now. But Pinterest yearns to know what you want next, which is “exactly” why it acquired recommendation engine startup Kosei, Pinterest’s head of engineering Michael Lopp tells me.<p>For an undisclosed figure, Pinterest gets Kosei’s tech that …

Machine Learning

Machine Learning + Big Data - = Predictive analytics (And where do Hadoop and Spark come in?)

Here at a16z, we treat “big data” and “machine learning” as connected activities. People have been talking about the need for more ‘analysis’ and …

Big Data

HDS: Creating value from Big Data – make predictions using Machine Learning

<i>InsightaaS: Anyone who has read the Big Data coverage on this site or my book on cloud will know that I have a lot of time for Paul Lewis. Now CTO of</i> …

Lynda Gratton - The Future of Work

It’s my fourth visit to Davos and it’s fascinating how many more of the academics here are scientists rather than economists or management theorists. …

This Guy Beat Google's Super-Smart AI—But It Wasn't Easy

Andrej Karpathy knows what it's like to compete with artificial intelligence.<p>He first went head-to-head with an artificial intelligence algorithm in …

Computer Scientists Generate A Self-Aware Mario That Can Learn And Feel

For some of the world’s brightest brains, artificial intelligence (AI) could spell doom and gloom for mankind. So it’s nice to know that some …

Researchers show a machine learning network for connected devices

Image copyright deviantART / rajasegar.Researchers at Ohio State University have developed a method for building a machine learning algorithm from …

Machine Learning

Interview: Arno Candel, H2O.ai on the Basics of Deep Learning to Get You Started

<b>Dr. Arno Candel</b> is a Physicist & Hacker at <b>H2O.ai</b>. Prior to that, he was a founding Senior MTS at Skytree where he designed and implemented …

The Current State of Machine Intelligence

(The 2016 Machine Intelligence landscape and post can be found here)<p>I spent the last three months learning about every artificial intelligence, …

Visualizing Representations: Deep Learning and Human Beings

In a previous post, we explored techniques for visualizing high-dimensional data. Trying to visualize high dimensional data is, by itself, very …

Deep Learning

What is Deep Learning?

In recent years the concept of deep learning has been gaining widespread attention. The media frequently reports on talent acquisitions in this …

The accidental consequences of connecting 100 billion+ dumb things together

Back at Ignite SF in 2007, I gave a talk covering commoditisation, evolution, 3D printing and the web of things. I finished the talk with a concern …

Artificial Intelligence

How Artificial Intelligence Can Predict Solar Flare Threats

Solar flares that can release enough energy to interfere with satellite communications or disrupt power grids on the surface of Earth might be …

Google on the Technical Debt of Machine Learning

A number of Google researchers and engineers presented their view on the technical debt of using machine learning at the Software Engineering for …

Facebook open-sources its cutting-edge deep learning tools

In the spirit of helping everyone do artificial intelligence more efficiently, Facebook is giving away some of its seriously powerful deep learning tools for free in the Torch open source library.<p>More specifically, the social networking company is open-sourcing code that helps it run complex …

A Deep Dive into Recurrent Neural Nets

Last time, we talked about the traditional feed-forward neural net and concepts that form the basis of deep learning. These ideas are extremely …